{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pinecone-io/examples/blob/master/learn/recommendation/article-recommender/article_recommendations.ipynb) [![Open nbviewer](https://raw.githubusercontent.com/pinecone-io/examples/master/assets/nbviewer-shield.svg)](https://nbviewer.org/github/pinecone-io/examples/blob/master/learn/recommendation/article-recommender/article_recommendations.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Fb53FkdrRB-K"
   },
   "source": [
    "# Personalized Article Recommendation Engine (Example)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yRoiji_IRB-O"
   },
   "source": [
    "This notebook demonstrates how to use Pinecone's similarity search to create a simple personalized article or content recommender."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E3wl_OoRRB-P"
   },
   "source": [
    "The goal is to create a recommendation engine that retrieves the best article recommendations for each user. When making recommendations with content-based filtering, we evaluate the user’s past behavior and the content items themselves. So in this example, users will be recommended articles that are similar to those they've already read.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0Of_-qU8RB-P"
   },
   "source": [
    "## Install and Import Python Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UOjd2xMJRB-P",
    "outputId": "7691f20f-ef2b-4c87-98e8-634cb68cd9d3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[K     |████████████████████████████████| 78 kB 5.7 MB/s \n",
      "\u001b[K     |████████████████████████████████| 3.5 MB 10.9 MB/s \n",
      "\u001b[K     |████████████████████████████████| 6.8 MB 34.3 MB/s \n",
      "\u001b[K     |████████████████████████████████| 1.2 MB 38.3 MB/s \n",
      "\u001b[K     |████████████████████████████████| 67 kB 46.1 MB/s \n",
      "\u001b[K     |████████████████████████████████| 596 kB 49.2 MB/s \n",
      "\u001b[K     |████████████████████████████████| 895 kB 48.1 MB/s \n",
      "\u001b[?25h  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
     ]
    }
   ],
   "source": [
    "!pip install --quiet wordcloud pandas\n",
    "!pip install --quiet sentence-transformers --no-cache-dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "PodOM8HCDbrG"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import time\n",
    "import re\n",
    "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
    "import matplotlib.pyplot as plt\n",
    "from statistics import mean\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QRgkJi7tRB-T"
   },
   "source": [
    "In the following sections, we will use Pinecone to easily build an article recommendation engine. Pinecone will be responsible for storing embeddings for articles, maintaining a live index of those vectors, and returning recommended articles on-demand. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "V0zk26pXDbrH"
   },
   "source": [
    "## Pinecone Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "RcIRWCpkDbrH"
   },
   "outputs": [],
   "source": [
    "!pip install --quiet -U pinecone-client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "d8meZcx9RB-T"
   },
   "outputs": [],
   "source": [
    "from pinecone import Pinecone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "z6y1BNXHRB-T"
   },
   "outputs": [],
   "source": [
    "# Load Pinecone API key\n",
    "api_key = os.getenv('PINECONE_API_KEY') or 'YOUR_API_KEY'\n",
    "pinecone.init(\n",
    "    api_key=api_key,\n",
    "    environment=\"YOUR_ENV\"  # find next to API key in console\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kSnyzrI7RB-U"
   },
   "source": [
    "[Get a Pinecone API key](https://www.pinecone.io/start/) if you don’t have one already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "TRO3nTAhRB-U"
   },
   "outputs": [],
   "source": [
    "index_name = 'articles-recommendation'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gIYrbR6-RB-U"
   },
   "outputs": [],
   "source": [
    "# If index of the same name exists, then delete it\n",
    "if index_name in pinecone.list_indexes().names():\n",
    "    pinecone.delete_index(index_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aSHahdoKRB-U"
   },
   "source": [
    "Create an index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "2I8VxbZCRB-U"
   },
   "outputs": [],
   "source": [
    "pinecone.create_index(index_name, dimension=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1isEp12QRB-V"
   },
   "source": [
    "Connect to the new index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "azdsH_aeRB-V",
    "outputId": "ad6efff5-5c99-4c30-8b15-320574eda213"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'dimension': 300, 'namespaces': {}}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index = pinecone.Index(index_name)\n",
    "index.describe_index_stats()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "05yNGSguRB-V"
   },
   "source": [
    "## Upload Articles\n",
    "Next, we will prepare data for the Pinecone vector index, and insert it in batches."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RfKRg-IqRB-R"
   },
   "source": [
    "The [dataset](https://components.one/datasets/all-the-news-2-news-articles-dataset/) used throughout this example contains 2.7 million news articles and essays from 27 American publications. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Gu4sAgkfRB-R"
   },
   "source": [
    "Let's download the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "J5xQaXWmRB-R",
    "outputId": "fb0ff131-d855-4cf5-a0ec-133f1315e553"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rm: cannot remove 'all-the-news-2-1.zip': No such file or directory\n",
      "rm: cannot remove 'all-the-news-2-1.csv': No such file or directory\n",
      "all-the-news-2-1.zi     [             <=>    ]   3.13G  82.7MB/s    in 39s     \n"
     ]
    }
   ],
   "source": [
    "!rm all-the-news-2-1.zip\n",
    "!rm all-the-news-2-1.csv\n",
    "!wget https://www.dropbox.com/s/cn2utnr5ipathhh/all-the-news-2-1.zip -q --show-progress\n",
    "!unzip -q all-the-news-2-1.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "p-jcFPPaRB-S"
   },
   "source": [
    "### Create Vector Embeddings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hytn3DeYRB-S"
   },
   "source": [
    "The model used in this example is the [Average Word Embeddings Models](https://www.sbert.net/docs/pretrained_models.html#average-word-embeddings-models). This model allows us to create vector embeddings for each article, using the content and title of each."
   ]
  },
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    },
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    "outputId": "e7f2cc13-8f98-499f-b804-06c0527e5d04"
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from sentence_transformers import SentenceTransformer\n",
    "\n",
    "# set device to GPU if available\n",
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "model = SentenceTransformer('average_word_embeddings_komninos', device=device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3gUwkVTYDbrO"
   },
   "source": [
    "Using the complete dataset may require more time for the model to generate vector embeddings. We will use only a sample, but if you want to try uploading the whole dataset, set the **NROWS** flag to **None**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "F0dUR-mMDbrP"
   },
   "outputs": [],
   "source": [
    "NROWS = 200000      # number of rows to be loaded from the csv, set to None for loading all rows, reduce if you have a low amount of RAM or want a faster execution\n",
    "BATCH_SIZE = 500    # batch size for upserting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GYouYV1DDbrP"
   },
   "source": [
    "Let's prepare data for upload."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3GwTGPZWDbrR"
   },
   "source": [
    "Uploading the data may take a while, and depends on the network you use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "aQwP2ufHRB-W",
    "outputId": "f8127abe-d003-492f-f857-fb94244dd20c",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:44: DtypeWarning: Columns (6,10) have mixed types.Specify dtype option on import or set low_memory=False.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preparing data...\n",
      "Encoding articles...\n",
      "Uploading items...\n"
     ]
    }
   ],
   "source": [
    "#%%time     \n",
    "\n",
    "def prepare_data(data) -> pd.DataFrame:\n",
    "    'Preprocesses data and prepares it for upsert.'\n",
    "    \n",
    "    # add an id column\n",
    "    print(\"Preparing data...\")\n",
    "    data[\"id\"] = range(len(data))\n",
    "\n",
    "    # extract only first few sentences of each article for quicker vector calculations\n",
    "    data['article'] = data['article'].fillna('')\n",
    "    data['article'] = data.article.apply(lambda x: ' '.join(re.split(r'(?<=[.:;])\\s', x)[:4]))\n",
    "    data['title_article'] = data['title'] + data['article']\n",
    "    \n",
    "    # create a vector embedding based on title and article columns\n",
    "    print('Encoding articles...')\n",
    "    encoded_articles = model.encode(data['title_article'])\n",
    "    data['article_vector'] = pd.Series(encoded_articles.tolist())\n",
    "    \n",
    "    return data\n",
    "\n",
    "\n",
    "def upload_items(data):\n",
    "    'Uploads data in batches.'\n",
    "    print(\"Uploading items...\")\n",
    "    \n",
    "    # create a list of items for upload\n",
    "    items_to_upload = [(str(row.id), row.article_vector) for i,row in data.iterrows()]\n",
    "    \n",
    "    # upsert\n",
    "    for i in range(0, len(items_to_upload), BATCH_SIZE):\n",
    "        index.upsert(vectors=items_to_upload[i:i+BATCH_SIZE])\n",
    "\n",
    "    \n",
    "def process_file(filename: str) -> pd.DataFrame:\n",
    "    'Reads csv files in chunks, prepares and uploads data.'\n",
    "    \n",
    "    data = pd.read_csv(filename, nrows=NROWS)\n",
    "    data = prepare_data(data)\n",
    "    upload_items(data)\n",
    "    return data\n",
    "            \n",
    "uploaded_data = process_file(filename='all-the-news-2-1.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "IP75eE73RB-W",
    "outputId": "726c8edf-9680-412d-c489-ab9422a6ff4b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'dimension': 300, 'namespaces': {'': {'vector_count': 200000}}}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print index statistics\n",
    "index.describe_index_stats()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hzFewYUHRB-W"
   },
   "source": [
    "## Query the Pinecone Index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FMUxnkYHDbrT"
   },
   "source": [
    "We will query the index for the specific users. The users are defined as a set of the articles that they previously read. More specifically, we will define 10 articles for each user, and based on the article embeddings, we will define a unique embedding for the user.\n",
    "\n",
    "We will create three users and query Pinecone for each of them:\n",
    "* User who likes to read Sport News\n",
    "* User who likes to read Entertainment News\n",
    "* User who likes to read Business News"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "67xj_6YmRB-W"
   },
   "source": [
    "Let's define mappings for titles, sections, and publications for each article."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "QeOB44lFRB-W"
   },
   "outputs": [],
   "source": [
    "titles_mapped = dict(zip(uploaded_data.id, uploaded_data.title))\n",
    "sections_mapped = dict(zip(uploaded_data.id, uploaded_data.section))\n",
    "publications_mapped = dict(zip(uploaded_data.id, uploaded_data.publication))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AJiJmawnRB-W"
   },
   "source": [
    "Also, we will define a function that uses *wordcloud* to visualize results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "YKkpgH7CRB-X"
   },
   "outputs": [],
   "source": [
    "def get_wordcloud_for_user(recommendations):\n",
    "\n",
    "    stopwords = set(STOPWORDS).union([np.nan, 'NaN', 'S'])\n",
    "\n",
    "    wordcloud = WordCloud(\n",
    "                   max_words=50000, \n",
    "                   min_font_size =12, \n",
    "                   max_font_size=50, \n",
    "                   relative_scaling = 0.9, \n",
    "                   stopwords=set(STOPWORDS),\n",
    "                   normalize_plurals= True\n",
    "    )\n",
    "\n",
    "    clean_titles = [word for word in recommendations.title.values if word not in stopwords]\n",
    "    title_wordcloud = wordcloud.generate(' '.join(clean_titles))\n",
    "\n",
    "    plt.imshow(title_wordcloud, interpolation='bilinear')\n",
    "    plt.axis(\"off\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3EGTDEZ5DbrV"
   },
   "source": [
    "Let's query the Pinecone index using three users. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "y8rchD2PRB-X"
   },
   "source": [
    "### Query Sports User"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "1cEoCTOLRB-X",
    "outputId": "91b16dfd-1c78-4e04-e6f2-baaf7dea3ea4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Here is the example of previously read articles by this user:\n",
      "\n"
     ]
    },
    {
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       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "    <tr>\n",
       "      <th>12373</th>\n",
       "      <td>Cilic offers Nadal a Wimbledon reality check</td>\n",
       "      <td>LONDON (Reuters) - Spaniard Rafael Nadal got a...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "    <tr>\n",
       "      <th>17124</th>\n",
       "      <td>Perth confirmed as host for Fed Cup final</td>\n",
       "      <td>(Reuters) - Perth has been named host city for...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "      <th>18411</th>\n",
       "      <td>Fed Cup gets revamp with 12-nation Finals in B...</td>\n",
       "      <td>LONDON (Reuters) - The Fed Cup’s existing form...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "    <tr>\n",
       "      <th>26574</th>\n",
       "      <td>Nadal to prepare for Wimbledon at Hurlingham e...</td>\n",
       "      <td>(Reuters) - World number two Rafa Nadal has en...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "    <tr>\n",
       "      <th>34957</th>\n",
       "      <td>Tennis Legend Margaret Court Went Off the Rail...</td>\n",
       "      <td>Margaret Court, the most decorated tennis play...</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Vice</td>\n",
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       "    <tr>\n",
       "      <th>35508</th>\n",
       "      <td>Puck City: The Enduring Success of Ice Hockey ...</td>\n",
       "      <td>This article originally appeared on VICE Sport...</td>\n",
       "      <td>Sports</td>\n",
       "      <td>Vice</td>\n",
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       "      <th>38393</th>\n",
       "      <td>As if by royal command, seven Britons make it ...</td>\n",
       "      <td>LONDON (Reuters) - Tennis fan the Duchess of C...</td>\n",
       "      <td>Sports News</td>\n",
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       "      <th>62445</th>\n",
       "      <td>Williams fined $17,000 for U.S. Open code viol...</td>\n",
       "      <td>NEW YORK (Reuters) - Serena Williams has been ...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "      <th>84122</th>\n",
       "      <td>Kyrgios still wrestling with his tennis soul a...</td>\n",
       "      <td>LONDON (Reuters) - Timothy Gallwey’s million-s...</td>\n",
       "      <td>Sports News</td>\n",
       "      <td>Reuters</td>\n",
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       "                                                   title  ... publication\n",
       "2261   Son of Borg makes quiet debut on London grassc...  ...     Reuters\n",
       "12373       Cilic offers Nadal a Wimbledon reality check  ...     Reuters\n",
       "17124          Perth confirmed as host for Fed Cup final  ...     Reuters\n",
       "18411  Fed Cup gets revamp with 12-nation Finals in B...  ...     Reuters\n",
       "26574  Nadal to prepare for Wimbledon at Hurlingham e...  ...     Reuters\n",
       "34957  Tennis Legend Margaret Court Went Off the Rail...  ...        Vice\n",
       "35508  Puck City: The Enduring Success of Ice Hockey ...  ...        Vice\n",
       "38393  As if by royal command, seven Britons make it ...  ...     Reuters\n",
       "62445  Williams fined $17,000 for U.S. Open code viol...  ...     Reuters\n",
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       "\n",
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      "\n",
      "This table contains recommended articles for the user:\n",
      "\n"
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    {
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       "       id     score  ...      section publication\n",
       "0  138865  0.966407  ...  Sports News     Reuters\n",
       "1   26574  0.965867  ...  Sports News     Reuters\n",
       "2   12373  0.965307  ...  Sports News     Reuters\n",
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       "4   60613  0.962414  ...  Sports News     Reuters\n",
       "5   22764  0.962373  ...  Sports News     Reuters\n",
       "6   71768  0.962168  ...       Sports        Vice\n",
       "7    2261  0.961590  ...  Sports News     Reuters\n",
       "8   45469  0.961451  ...  Sports News     Reuters\n",
       "9   55061  0.960677  ...  Sports News     Reuters\n",
       "\n",
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      "\n",
      "A word-cloud representing the results:\n",
      "\n"
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    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first create a user who likes to read sport news about tennis\n",
    "sport_user = uploaded_data.loc[((uploaded_data['section'] == 'Sports News' ) | \n",
    "                                (uploaded_data['section'] == 'Sports')) &\n",
    "                                (uploaded_data['article'].str.contains('Tennis'))][:10]\n",
    "\n",
    "print('\\nHere is the example of previously read articles by this user:\\n')\n",
    "display(sport_user[['title', 'article', 'section', 'publication']])\n",
    "\n",
    "# then create a vector for this user\n",
    "a = sport_user['article_vector']\n",
    "sport_user_vector = [*map(mean, zip(*a))]\n",
    "\n",
    "# query the pinecone\n",
    "res = index.query(vector=sport_user_vector, top_k=10)\n",
    "\n",
    "# print results\n",
    "ids = [match.id for match in res.matches]\n",
    "scores = [match.score for match in res.matches]\n",
    "df = pd.DataFrame({'id': ids, \n",
    "                   'score': scores,\n",
    "                   'title': [titles_mapped[int(_id)] for _id in ids],\n",
    "                   'section': [sections_mapped[int(_id)] for _id in ids],\n",
    "                   'publication': [publications_mapped[int(_id)] for _id in ids]\n",
    "                    })\n",
    "\n",
    "print(\"\\nThis table contains recommended articles for the user:\\n\")\n",
    "display(df)\n",
    "print(\"\\nA word-cloud representing the results:\\n\")\n",
    "get_wordcloud_for_user(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MQetrCScRB-X"
   },
   "source": [
    "### Query Entertainment User"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "4lnd4lI7RB-Y",
    "outputId": "b58f67b4-6cb2-4be2-de1c-d89f114a5c58"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Here is the example of previously read articles by this user:\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-40de5ea3-0e1d-48b5-b827-718415441735\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>article</th>\n",
       "      <th>section</th>\n",
       "      <th>publication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4977</th>\n",
       "      <td>A Canadian Man Is Pissed That His Son Ran Up a...</td>\n",
       "      <td>A Pembroke, Ontario, gun shop owner is \"mad as...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12016</th>\n",
       "      <td>'I Expect You to Die' is One of Virtual Realit...</td>\n",
       "      <td>The reason I bought a Vive over and Oculus ear...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16078</th>\n",
       "      <td>Windows 10's Killer App? Xbox One Games</td>\n",
       "      <td>Microsoft's crusade to get the world to instal...</td>\n",
       "      <td>Tech by VICE</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20318</th>\n",
       "      <td>Black Friday Not Your Thing? Play These Free G...</td>\n",
       "      <td>It's Black Friday, the oh-so-American shopping...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25785</th>\n",
       "      <td>Nintendo’s Win at E3 Shows That It's a Console...</td>\n",
       "      <td>​ E3 has come and gone for 2016, the LA expo o...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29653</th>\n",
       "      <td>You Can Smell Like a Gamer With Lynx’s New Xbo...</td>\n",
       "      <td>Gamers in Australia and New Zealand will soon ...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33234</th>\n",
       "      <td>It’s Old and It’s Clunky, But You Really Must ...</td>\n",
       "      <td>When Dragon's Dogma first popped up in 2012, t...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34617</th>\n",
       "      <td>Nintendo’s Win at E3 Shows That It's a Console...</td>\n",
       "      <td>E3 has come and gone for 2016, the LA expo of ...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38608</th>\n",
       "      <td>PC Gaming Is Still Way Too Hard</td>\n",
       "      <td>Here's Motherboard's super simple guide to bui...</td>\n",
       "      <td>Tech by VICE</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41444</th>\n",
       "      <td>Here’s Everything That Happened at the Xbox E3...</td>\n",
       "      <td>That's Xbox's Big Show for E3 2016 over and do...</td>\n",
       "      <td>Games</td>\n",
       "      <td>Vice</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "8  156585  0.959380  ...         Games        Vice\n",
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first create a user who likes to read news about Xbox\n",
    "entertainment_user = uploaded_data.loc[((uploaded_data['section'] == 'Entertainment') |\n",
    "                                        (uploaded_data['section'] == 'Games') |\n",
    "                                        (uploaded_data['section'] == 'Tech by VICE')) &\n",
    "                                        (uploaded_data['article'].str.contains('Xbox'))][:10]\n",
    "\n",
    "print('\\nHere is the example of previously read articles by this user:\\n')\n",
    "display(entertainment_user[['title', 'article', 'section', 'publication']])\n",
    "\n",
    "# then create a vector for this user\n",
    "a = entertainment_user['article_vector']\n",
    "entertainment_user_vector = [*map(mean, zip(*a))]\n",
    "\n",
    "# query the pinecone\n",
    "res = index.query(vector=entertainment_user_vector, top_k=10)\n",
    "\n",
    "# print results\n",
    "ids = [match.id for match in res.matches]\n",
    "scores = [match.score for match in res.matches]\n",
    "df = pd.DataFrame({'id': ids, \n",
    "                   'score': scores,\n",
    "                   'title': [titles_mapped[int(_id)] for _id in ids],\n",
    "                   'section': [sections_mapped[int(_id)] for _id in ids],\n",
    "                   'publication': [publications_mapped[int(_id)] for _id in ids]\n",
    "                    })\n",
    "\n",
    "print(\"\\nThis table contains recommended articles for the user:\\n\")\n",
    "display(df)\n",
    "print(\"\\nA word-cloud representing the results:\\n\")\n",
    "get_wordcloud_for_user(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-8Px1ifjRB-Y"
   },
   "source": [
    "### Query Business User"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "jC_OrP41RB-Y",
    "outputId": "940e5396-53b1-4f47-8385-581aff72fccc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Here is the example of previously read articles by this user:\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-e8d6ebdc-61ac-4489-87a5-ac67cd1e8dfc\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>article</th>\n",
       "      <th>section</th>\n",
       "      <th>publication</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Wall St. falls as investors eye a united hawki...</td>\n",
       "      <td>NEW YORK (Reuters) - Wall Street’s major index...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>Oil surges on tanker attacks; stocks rise on F...</td>\n",
       "      <td>NEW YORK (Reuters) - Oil futures rose on Thurs...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>A look at Tesla's nine-member board</td>\n",
       "      <td>(Reuters) - Tesla Inc’s board has named a spec...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1049</th>\n",
       "      <td>Home Depot posts rare sales miss as delayed sp...</td>\n",
       "      <td>(Reuters) - Home Depot Inc (HD.N) on Tuesday m...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1555</th>\n",
       "      <td>PepsiCo's mini-sized sodas boost quarterly res...</td>\n",
       "      <td>(Reuters) - PepsiCo Inc’s (PEP.O) quarterly re...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1638</th>\n",
       "      <td>Wall Street extends rally on U.S.-China trade ...</td>\n",
       "      <td>NEW YORK (Reuters) - U.S. stocks rallied on Fr...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900</th>\n",
       "      <td>U.S. plans limits on Chinese investment in U.S...</td>\n",
       "      <td>WASHINGTON (Reuters) - The U.S. Treasury Depar...</td>\n",
       "      <td>Business News</td>\n",
       "      <td>Reuters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2109</th>\n",
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first create a user who likes to read about Wall Street business news\n",
    "business_user = uploaded_data.loc[((uploaded_data['section'] == 'Business News')|\n",
    "                                   (uploaded_data['section'] == 'business')) &\n",
    "                                   (uploaded_data['article'].str.contains('Wall Street'))][:10]\n",
    "\n",
    "print('\\nHere is the example of previously read articles by this user:\\n')\n",
    "display(business_user[['title', 'article', 'section', 'publication']])\n",
    "\n",
    "# then create a vector for this user\n",
    "a = business_user['article_vector']\n",
    "business_user_vector = [*map(mean, zip(*a))]\n",
    "\n",
    "# query the pinecone\n",
    "res = index.query(vector=business_user_vector, top_k=10)\n",
    "\n",
    "# print results\n",
    "ids = [match.id for match in res.matches]\n",
    "scores = [match.score for match in res.matches]\n",
    "df = pd.DataFrame({'id': ids, \n",
    "                   'score': scores,\n",
    "                   'title': [titles_mapped[int(_id)] for _id in ids],\n",
    "                   'section': [sections_mapped[int(_id)] for _id in ids],\n",
    "                   'publication': [publications_mapped[int(_id)] for _id in ids]\n",
    "                    })\n",
    "\n",
    "print(\"\\nThis table contains recommended articles for the user:\\n\")\n",
    "display(df)\n",
    "print(\"\\nA word-cloud representing the results:\\n\")\n",
    "get_wordcloud_for_user(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MtHUsuR8DbrX"
   },
   "source": [
    "### Query Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eT3k7mn5DbrX"
   },
   "source": [
    "We can see that each user's recommendations have a high similarity to what the user actually reads. A user who likes Tennis news has plenty of Tennis news recommendations. A user who likes to read about Xbox has that kind of news. And a business user has plenty of Wall Street news that he/she enjoys. \n",
    "\n",
    "From the word-cloud, you can see the most frequent words that appear in the recommended articles' titles. \n",
    "\n",
    "Since we used only the title and the content of the article to define the embeddings, and we did not take publications and sections into account, a user may get recommendations from a publication/section that he does not regularly read. You may try adding this information when creating embeddings as well and check your query results then!\n",
    "\n",
    "Also, you may notice that some articles appear in the recommendations, although the user has already read them. These articles could be removed as part of postprocessing the query results, in case you prefer not to see them in the recommendations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lFT2bStCRB-Y"
   },
   "source": [
    "## Delete the index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ppirLic6DbrX"
   },
   "source": [
    "Delete the index once you are sure that you do not want to use it anymore. Once it is deleted, you cannot use it again.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "xcd6vDvkRB-Y"
   },
   "outputs": [],
   "source": [
    "pinecone.delete_index(index_name)"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "machine_shape": "hm",
   "name": "article_recommendations.ipynb",
   "provenance": []
  },
  "environment": {
   "name": "tf2-gpu.2-4.m61",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-4:m61"
  },
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13 (default, Mar 28 2022, 06:59:08) [MSC v.1916 64 bit (AMD64)]"
  },
  "vscode": {
   "interpreter": {
    "hash": "5fe10bf018ef3e697f9035d60bf60847932a12bface18908407fd371fe880db9"
   }
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